Results of the Mann-Whitney U test and the t-test comparing boundary shift for the three forms of iterated algorithmic bias with class-dependent human action probability ratio 1:1 and 10:1.

The effect size is calculated as (Boundary|ratio = 1: 1 − Boundary|ratio = 10: 1)/standard.dev at time t = 200. Both Filter bias and active learning bias show no significant difference between the two ratios. On the other hand, random selection decreases the class-1 blind spot size.